#baseline
python train.py --model resnet18




#prune
python prune.py  --model resnet18  --weight   --mode u --rate 0.5
python prune.py  --model resnet18  --weight   --mode r --rate 0.5



#finetune
python finetune.py  --model resnet18 --weight "/data/anyongqi/pruning-tools/pytorch_cifar/work_dirs/resnet18_1/pruned/resnet18_u_0.5.pth" --lr 0.001



#test
python test.py --model resnet18 --weight "/data/anyongqi/pruning-tools/pytorch_cifar/work_dirs/resnet18_1/pruned/resnet18_r_0.5.pth"




